Precisely

DECEMBER 12, 2024

One of the primary hurdles is the complexity of integrating legacy systems with modern AI frameworks. Mainframes were not designed to interact with AI systems that rely on cloud infrastructure and modern data processing techniques. Data Silos Mainframe data often exists in a silo, separated from other enterprise data.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

Striim

JUNE 18, 2024

In today’s fast-paced world, staying ahead of the competition requires making decisions informed by the freshest data available — and quickly. That’s where real-time data integration comes into play. What is Real-Time Data Integration + Why is it Important? Why is Real-Time Data Integration Important?

Data Integration 52

Data Integration Data Lake Retail Healthcare 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Ascend.io

OCTOBER 28, 2024

It is important to note that normalization often overlaps with the data cleaning process, as it helps to ensure consistency in data formats, particularly when dealing with different sources or inconsistent units. Data Validation Data validation ensures that the data meets specific criteria before processing.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Precisely

JULY 25, 2023

As the hyper-automation trend accelerates, supporting citizen developers who can drive process automation across the entire organization is key. Data Integrity Today’s innovators take proactive steps to improve the quality and integrity of their most important data. We call these strategic data processes.

Data Process 52

Data Process Process Data Data Integration 52

Striim

JUNE 6, 2024

For your organization’s data integration and streaming initiatives to succeed, meeting latency requirements is crucial. Low latency, defined by the rapid transmission of data with minimal delay, is essential for maximizing the effectiveness of your data strategy. Here’s what you need to know.

Data Integration 52

Data Integration Data Ingestion Healthcare Data Pipeline 52

Snowflake

NOVEMBER 19, 2024

To overcome these hurdles, CTC moved its processing off of managed Spark and onto Snowflake, where it had already built its data foundation. Thanks to the reduction in costs, CTC now maximizes data to further innovate and increase its market-making capabilities.

Data Governance 98

Data Governance Government Healthcare Management 98

Ascend.io

DECEMBER 4, 2024

Examples include “reduce data processing time by 30%” or “minimize manual data entry errors by 50%.” It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Striim

MARCH 21, 2025

There are two main data processing paradigms: batch processing and stream processing. Batch processing: data is typically extracted from databases at the end of the day, saved to disk for transformation, and then loaded in batch to a data warehouse. Stream processing is (near) real-time processing.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Precisely

MARCH 14, 2023

Deploy, execute, and scale natively in modern cloud architectures To meet the need for data quality in the cloud head on, we’ve developed the Precisely Data Integrity Suite. The modules of the Data Integrity Suite seamlessly interoperate with one another to continuously build accuracy, consistency, and context in your data.

Data Integration 52

Data Integration High Quality Data BI Data 52

Data Engineering Weekly

JANUARY 15, 2025

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. How does a self-driving car understand a chaotic street scene?

Data Engineer 62

Data Engineer Data Engineering Unstructured Data Engineering 62

Pinterest Engineering

NOVEMBER 18, 2024

CDC allows applications to respond to these changes in real-time, making it an essential component for data integration, replication, and synchronization. Real-Time Data Processing : CDC enables real-time data processing by capturing changes as they happen. Why is CDC Important?

Kafka 50

Kafka MySQL Database Software Engineering 50

Striim

DECEMBER 18, 2024

Elevating Fuel Efficiency with Real-Time Data For airlines, fuel efficiency isn’t just about cutting costsit’s a pivotal factor in reducing environmental impact and maintaining competitive operations. This centralized approach empowers teams with immediate insights across all facets of aviation operations.

Aggregated Data 52

Aggregated Data Machine Learning Data Integration Data 52

Striim

APRIL 10, 2025

As data volumes surge and the need for fast, data-driven decisions intensifies, traditional data processing methods no longer suffice. To stay competitive, organizations must embrace technologies that enable them to process data in real time, empowering them to make intelligent, on-the-fly decisions.

Data Analytics 52

Data Analytics Algorithm Datasets Data 52

Ascend.io

DECEMBER 4, 2024

Examples include “reduce data processing time by 30%” or “minimize manual data entry errors by 50%.” It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Striim

MARCH 21, 2025

Today were going to talk about five streaming cloud integration use cases. Streaming cloud integration moves data continuously in real time between heterogeneous databases, with in-flight data processing. Streaming data integration offers Change Data Capture technology.

Cloud 52

Cloud Database Architecture BI 52

Striim

MARCH 21, 2025

Today were going to talk about five streaming cloud integration use cases. Streaming cloud integration moves data continuously in real time between heterogeneous databases, with in-flight data processing. Streaming data integration offers Change Data Capture technology.

Cloud 52

Cloud Database Architecture BI 52

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Striim

MARCH 21, 2025

With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering. As organizations adopt Snowflake for business-critical workloads, they also need to look for a modern data integration approach.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Ascend.io

APRIL 12, 2023

So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. Data integrity is vital to every company’s survival and growth.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

Data Engineering Weekly

FEBRUARY 2, 2025

The article advocates for a "shift left" approach to data processing, improving data accessibility, quality, and efficiency for operational and analytical use cases.

Data Engineer 57

Data Engineer Data Engineering Engineering Data Lake 57

Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

Data Integration 98

Data Integration Data Programming Programming Data 98

Striim

MARCH 21, 2025

In this post, we’ll share why Change Data Capture is ideal for near-real-time business intelligence and cloud migrations, and four different Change Data Capture methods. What is Change Data Capture? Change Data Capture is a software process that identifies and tracks changes to data in a database.

IT 52

IT Data Lake Data Warehouse Relational Database 52

Striim

NOVEMBER 17, 2023

In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Striim

JANUARY 17, 2025

Where these two trends collidereal-time data streaming and GenAIlies a major opportunity to reshape how businesses operate. Todays enterprises are tasked with implementing a robust, flexible data integration layer capable of feeding GenAI models fresh context from multiple systems at scale.

Healthcare 52

Healthcare Google Cloud Data Validation Government 52

Cloudyard

JANUARY 21, 2025

Read Time: 6 Minute, 6 Second In modern data pipelines, handling data in various formats such as CSV, Parquet, and JSON is essential to ensure smooth data processing. However, one of the most common challenges faced by data engineers is the evolution of schemas as new data comes in.

Data Schemas 59

Data Schemas Data Pipeline Data Warehouse Data Storage 59

Hevo

APRIL 26, 2024

Most organizations find it challenging to manage data from diverse sources efficiently. However, simply storing the data isn’t enough. To drive your business growth, you need to analyze this data to […]

AWS 52

AWS Amazon Web Services Data Process Process 52

Precisely

OCTOBER 23, 2023

Unsustainable processes : Manual processes and complex workflows create delays. Data updates that lag behind reality can hamper your ability to operate at the speed of business. Without clear lines of demarcation, the problem of unsustainable processes gets even worse. MDM will fix all our data problems instantly.”

Data Management 110

Data Management Management Data Data Integration 110

Cloudera

MARCH 11, 2021

While these new sources increase the amount of data that a data flow system has to process, more often than not, these sources are sending data via unreliable network connections with each network outage resulting in its own data burst. Self-service is king – The need for a data flow catalog.

Cloud 119

Cloud Data Data Warehouse Data Integration 119

Netflix Tech

FEBRUARY 14, 2025

The Flink jobs sink is equipped with a data mesh connector, as detailed in our Data Mesh platform which has two outputs: Kafka and Iceberg. This approach will enhance efficiency, reduce manual oversight, and ensure a higher standard of data integrity.

Kafka 66

Kafka Datasets Metadata Utilities 66

Data Engineering Weekly

JULY 14, 2024

link] Sponsored: 7/25 Amazon Bedrock Data Integration Tech Talk Streamline & scale data integration to and from Amazon Bedrock for generative AI applications. Senior Solutions Architect at AWS) Learn about: Efficient methods to feed unstructured data into Amazon Bedrock without intermediary services like S3.

Data Engineer 98

Data Engineer Data Engineering Engineering Unstructured Data 98

Striim

FEBRUARY 26, 2025

new Intercom Reader makes it even easier by enabling seamless real-time data integration from the Intercom platform into your analytics systems. It captures the necessary data and emits WAEvents, which can be propagated to any supported target systems , such as Google BigQuery, Snowflake, or Microsoft Azure Synapse. Striim 5.0s

Data Integration 40

Data Integration Data Collection Data Security Cloud 40

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

phData: Data Engineering

NOVEMBER 8, 2024

With the collective power of the open-source community, Open Table Formats remain at the cutting edge of data architecture, evolving to support emerging trends and addressing the limitations of previous systems. They also support ACID transactions, ensuring data integrity and stored data reliability.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

SEPTEMBER 7, 2023

By leveraging External Access with Snowpark, Omnata have launched the first fully native data integration product built on Snowflake which supports syncing data both to and from external Software-As-a-Service applications. Now users with USAGE privilege on the CHATGPT function can call this UDF.

Amazon Web Services 134

Amazon Web Services AWS Government Python 134

Snowflake

NOVEMBER 29, 2023

Figure 2: Questions answered by precision medicine Snowflake and FAIR in the world of precision medicine and biomedical research Cloud-based big data technologies are not new for large-scale data processing. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 117

Metadata Healthcare Medical Data Storage 117